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Prediction of emissions and performance of a gasoline engine running with fusel oil-gasoline blends using response surface methodology

机译:使用响应面方法预测混合有杂种机油混合物的汽油发动机的排放和性能

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摘要

In this study, the engine performance and emissions of gasoline were examined by applying a response surface methodology (RSM) optimisation approach. Fusel oil-gasoline blends were used to operate an engine at various speeds and loads. The optimal fusel oil-gasoline blend mix ratio was determined to minimise fuel consumption and nitrogen oxide and hydrocarbon emissions and to maximise the brake power (BP). The results demonstrate that the engine load and speed have a significant effect on performance and emissions. In addition, the blended fuels (F10 and F20) were shown to reduce NOx emissions. Furthermore, insignificant effects on engine performance were observed for fusel oil compared with pure gasoline. The design of experiments (DoE) method, which is a statistical technique, indicated that F20 was the optimum blend ratio among the three studied fuels, based on the RSM. The optimal parameters were a load corresponding to 60% of the wide open throttle engine load and an engine speed of 4500 rpm for the F20 blend, resulting in a high desirability value of 0.852 for the WA engine, with values of 67.6 kW, 235.17 g/kW.h, 0.118%vol, and 1931.4 ppm for the BP, brake-specific fuel consumption, CO emission, and NOx emission, respectively.
机译:在这项研究中,通过应用响应面方法(RSM)优化方法检查了发动机性能和汽油排放。汽油和汽油的混合燃料用于在各种速度和负载下运行发动机。确定了最佳的杂种机油与汽油混合比,以最大程度地减少燃料消耗以及氮氧化物和碳氢化合物的排放,并最大程度地提高制动功率(BP)。结果表明,发动机负载和转速对性能和排放有显着影响。此外,混合燃料(F10和F20)被证明可以减少NOx排放。此外,与纯汽油相比,杂醇油对发动机性能的影响微乎其微。统计技术实验设计(DoE)方法表明,基于RSM,F20是三种研究燃料中的最佳混合比。最佳参数是相当于F20混合气的全开节气门发动机负载的60%的负载和4,500 rpm的发动机转速,从而导致WA发动机的高期望值0.852,值为67.6 kW,235.17 g分别为BP / kW.h,0.118%vol和1931.4 ppm,特定于制动的燃油消耗,CO排放和NOx排放。

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